Technology acceptance model in technology-enhanced OCLL contexts: A self-determination theory approach

Fathali, Somayeh; Okada, Takeshi

doi:10.14742/ajet.3629

Cited by 63 publications

(46 citation statements)

References 53 publications

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“…In addition to formal theory development, SDT has been applied to many domains, including health and medicine [38,39], learning [40,41], and virtual environments [36,37,42]. A study in [39] applied self-determination theory to test the influence of autonomous and controlled motivations on the prediction of health-related behaviors.…”

Section: Self-determination Theorymentioning

confidence: 99%

Factors Driving Users’ Engagement in Patient Social Network Systems

Puspitasari

Fauzi

2021

Informatics

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Participatory medicine and e-health help to promote health literacy among non-medical professionals. Users of e-health systems actively participate in a patient social network system (PSNS) to share health information and experiences with other users with similar health conditions. Users’ activities provide valuable healthcare resources to develop effective participatory medicine between patients, caregivers, and medical professionals. This study aims to investigate the factors of patients’ engagement in a PSNS by integrating and modifying an existing behavioral model and information system model (i.e., affective events theory (AET) and self-determination theory (SDT)). The AET is used to model the structure, the affective aspects of the driven behavior, and actual affective manifestation. The SDT is used to model interest and its relations with behavior. The data analysis and model testing are based on structural equation modeling, using responses from 428 users. The results indicate that interest and empathy promote users’ engagement in a PSNS. The findings from this study suggest recommendations to further promote users’ participation in a PSNS from the sociotechnical perspective, which include sensitizing and constructive engagement features. Furthermore, the data generated from a user’s participation in a PSNS could contribute to the study of clinical manifestations of disease, especially an emerging disease.

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Section: Self-determination Theorymentioning

confidence: 99%

Factors Driving Users’ Engagement in Patient Social Network Systems

Puspitasari

Fauzi

2021

Informatics

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“…The initial model was also directed to others such as the “Unified Theory of Acceptance and Use of Technology” (UTAUT) (Cabero et al., 2016a; Guzmán et al., 2019). Also, relations have been established with the theories of self-determination (Fathali and Okada, 2018) and planned behavior (Cheng, 2018).…”

Section: Introductionmentioning

confidence: 99%

Adoption of augmented reality technology by university students

Cabero‐Almenara

Batanero

Osuna

2019

Heliyon

127

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In recent times, Augmented Reality has gained more relevance in the field of education. This relevance has been enhanced due to its ease of use, as well as the availability of the technical devices for the students. The present study was conducted with students enrolled in the Pedagogy Degree in the Faculty of Education at the University of Seville. The objective was to understand the degree of technological acceptance of students during their interaction with the AR objects produced, the performance achieved by the students, and if their gender affected their acquisition of knowledge. For this, three data collection instruments were utilized: a multiple choice test for the analysis of the student's performance after the interaction, the Technology Acceptance Model (TAM) diagnostic instrument, created by Davis (1989), and an “ad hoc” instrument created so that the students could evaluate the class notes enriched with the AR objects created. The study has allowed us to broaden the scientific knowledge of the TAM by Davis, to understand that AR objects can be utilized in university teaching, and to know that the student's gender does not influence learning.

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“…In the contemporary literature on the acceptance or adoption of ICT application, the most recognized approach is the technology acceptance model (TAM) claimed by Davis et al (1989). Technology acceptance studies have been globally conducted using TAM (Al-Azawei et al, 2017;Fathali & Okada, 2018;Holzinger et al, 2011;Sánchez-Prieto et al, 2017;Yim et al, 2019). The TAM was generated from the theory of reasoned action (TRA) as first presented by Fishbein and Ajzen (1975), which is shown in Figure 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of ICT in Tertiary Education Applying Structural Equation Modeling and Rasch Model

Islam

Crook

et al. 2020

Sage Open

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Assessment studies using structural equation modeling and Rasch Model have long been prominent in all areas of educational psychology. Their emphases have covered, but have not been limited to, the improvement of quality in teaching, learning, and research as well as the pursuit of research productivity. However, such methodological approaches have rarely taken place in the arena of information and communication technology (ICT) in tertiary education. As such, this study assesses Chinese lecturers’ expression of ICT satisfaction through the technology satisfaction model (TSM). Data from 196 Chinese lecturers were collected using stratified random sampling and analyzed applying structural equation modeling and the Rasch model. The findings suggested that Chinese lecturers’ satisfaction around ICT use was explored by the three underlying antecedents of computer self-efficacy, perceived usefulness, and ease of use. Computer self-efficacy was evidently a powerful exogenous variable in assessing direct and indirect causal associations among the dimensions of TSM. In future research, it is recommended that assessment of Chinese lecturers’ ICT use for teaching and research purposes should be considered through structural equation modeling and the Rasch model. This would support future researchers, academicians, and practitioners in performing technological measurements in all the arenas of tertiary education.

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Technology acceptance model in technology-enhanced OCLL contexts: A self-determination theory approach

Cited by 63 publications

References 53 publications

Factors Driving Users’ Engagement in Patient Social Network Systems

Factors Driving Users’ Engagement in Patient Social Network Systems

Adoption of augmented reality technology by university students

Assessment of ICT in Tertiary Education Applying Structural Equation Modeling and Rasch Model

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